{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         DATE  VALUE\n",
      "0  1948-01-01    3.4\n",
      "1  1948-02-01    3.8\n",
      "2  1948-03-01    4.0\n",
      "3  1948-04-01    3.9\n",
      "4  1948-05-01    3.5\n",
      "5  1948-06-01    3.6\n",
      "6  1948-07-01    3.6\n",
      "7  1948-08-01    3.9\n",
      "8  1948-09-01    3.8\n",
      "9  1948-10-01    3.7\n",
      "10 1948-11-01    3.8\n",
      "11 1948-12-01    4.0\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "unrate = pd.read_csv(\"./../../data/unrate.csv\")\n",
    "unrate[\"DATE\"] = pd.to_datetime(unrate[\"DATE\"])\n",
    "print(unrate.head(12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#读取数据画图\n",
    "first_twelve = unrate[0:12]\n",
    "plt.plot(first_twelve[\"DATE\"],first_twelve[\"VALUE\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 给横坐标一个角度显示\n",
    "plt.plot(first_twelve[\"DATE\"],first_twelve[\"VALUE\"])\n",
    "plt.xticks(rotation = 45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 添加标题,标签等信息\n",
    "plt.plot(first_twelve[\"DATE\"],first_twelve[\"VALUE\"])\n",
    "plt.xticks(rotation = 90)\n",
    "plt.xlabel(\"Month\")\n",
    "plt.ylabel(\"Rate\")\n",
    "plt.title(\"Monthly Trend\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画多张图\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(4,3,1)\n",
    "ax2 = fig.add_subplot(4,3,2)\n",
    "ax3 = fig.add_subplot(4,3,6)\n",
    "plt.show()\n",
    "\n",
    "# 指定长和宽\n",
    "import numpy as np\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "ax1 = fig.add_subplot(2,1,1)\n",
    "ax2 = fig.add_subplot(2,1,2)\n",
    "\n",
    "ax1.plot(np.random.randint(1,5,5),np.arange(5))\n",
    "ax2.plot(np.arange(10)*3,np.arange(10))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "unrate[\"MONTH\"] = unrate[\"DATE\"].dt.month\n",
    "\n",
    "fig = plt.figure(figsize=(6,3))\n",
    "\n",
    "plt.plot(unrate[0:12][\"MONTH\"],unrate[0:12][\"VALUE\"],c=\"red\")\n",
    "plt.plot(unrate[12:24][\"MONTH\"],unrate[0:12][\"VALUE\"],c=\"blue\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,6))\n",
    "colors = ['red','blue','green','orange','black']\n",
    "for i in range(5):\n",
    "    start_index = i*12\n",
    "    end_index = (i+1)*12\n",
    "    subset = unrate[start_index:end_index]\n",
    "    plt.plot(subset[\"MONTH\"],subset[\"VALUE\"],c=colors[i])\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,6))\n",
    "colors = ['red','blue','green','orange','black']\n",
    "for i in range(5):\n",
    "    start_index = i*12\n",
    "    end_index = (i+1)*12\n",
    "    subset = unrate[start_index:end_index]\n",
    "    label = str(1948+i)\n",
    "    plt.plot(subset[\"MONTH\"],subset[\"VALUE\"],c=colors[i],label=label)\n",
    "    \n",
    "#plt.legend(loc=\"best\")\n",
    "plt.legend(loc=\"upper left\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 其他种类的统计图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             FILM  RT_user_norm  Metacritic_user_nom  \\\n",
      "0  Avengers: Age of Ultron (2015)           4.3                 3.55   \n",
      "1               Cinderella (2015)           4.0                 3.75   \n",
      "2                  Ant-Man (2015)           4.5                 4.05   \n",
      "3          Do You Believe? (2015)           4.2                 2.35   \n",
      "4   Hot Tub Time Machine 2 (2015)           1.4                 1.70   \n",
      "\n",
      "   IMDB_norm  Fandango_Ratingvalue  \n",
      "0       3.90                   4.5  \n",
      "1       3.55                   4.5  \n",
      "2       3.90                   4.5  \n",
      "3       2.70                   4.5  \n",
      "4       2.55                   3.0  \n"
     ]
    }
   ],
   "source": [
    "reviews = pd.read_csv(\"./../../data/fandango_score_comparison.csv\")\n",
    "cols = [\"FILM\",\"RT_user_norm\",\"Metacritic_user_nom\",\"IMDB_norm\",\"Fandango_Ratingvalue\"]\n",
    "norm_reviews = reviews[cols]\n",
    "print(norm_reviews[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.7     2\n",
      "2.8     2\n",
      "2.9     5\n",
      "3.0     4\n",
      "3.1     3\n",
      "3.2     5\n",
      "3.3     4\n",
      "3.4     9\n",
      "3.5     9\n",
      "3.6     8\n",
      "3.7     9\n",
      "3.8     5\n",
      "3.9    12\n",
      "4.0     7\n",
      "4.1    16\n",
      "4.2    12\n",
      "4.3    11\n",
      "4.4     7\n",
      "4.5     9\n",
      "4.6     4\n",
      "4.8     3\n",
      "Name: Fandango_Ratingvalue, dtype: int64\n",
      "2.00     1\n",
      "2.10     1\n",
      "2.15     1\n",
      "2.20     1\n",
      "2.30     2\n",
      "2.45     2\n",
      "2.50     1\n",
      "2.55     1\n",
      "2.60     2\n",
      "2.70     4\n",
      "2.75     5\n",
      "2.80     2\n",
      "2.85     1\n",
      "2.90     1\n",
      "2.95     3\n",
      "3.00     2\n",
      "3.05     4\n",
      "3.10     1\n",
      "3.15     9\n",
      "3.20     6\n",
      "3.25     4\n",
      "3.30     9\n",
      "3.35     7\n",
      "3.40     1\n",
      "3.45     7\n",
      "3.50     4\n",
      "3.55     7\n",
      "3.60    10\n",
      "3.65     5\n",
      "3.70     8\n",
      "3.75     6\n",
      "3.80     3\n",
      "3.85     4\n",
      "3.90     9\n",
      "3.95     2\n",
      "4.00     1\n",
      "4.05     1\n",
      "4.10     4\n",
      "4.15     1\n",
      "4.20     2\n",
      "4.30     1\n",
      "Name: IMDB_norm, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "fanfango_distribution = norm_reviews[\"Fandango_Ratingvalue\"].value_counts()\n",
    "fanfango_distribution = fanfango_distribution.sort_index()\n",
    "\n",
    "imdb_distribution = norm_reviews['IMDB_norm'].value_counts()\n",
    "imdb_distribution = imdb_distribution.sort_index()\n",
    "\n",
    "print(fanfango_distribution)\n",
    "print(imdb_distribution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qlAUuSY2ywCWpUf8HAsxLlway8OYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "ax.hist(norm_reviews[\"Fandango_Ratingvalue\"],range=(4,5),bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#设置区间\n",
    "\n",
    "fig = plt.figure(figsize=(5,20))\n",
    "ax1 = fig.add_subplot(4,1,1)\n",
    "ax2 = fig.add_subplot(4,1,2)\n",
    "ax3 = fig.add_subplot(4,1,3)\n",
    "ax4 = fig.add_subplot(4,1,4)\n",
    "\n",
    "ax1.hist(norm_reviews[\"Fandango_Ratingvalue\"],bins=20,range=(0,5))\n",
    "ax1.set_title(\"Distributons of Rottem\")\n",
    "ax1.set_ylim(0,50)\n",
    "\n",
    "ax2.hist(norm_reviews[\"RT_user_norm\"],bins=20,range=(0,5))\n",
    "ax2.set_title(\"Distributons of Rottem\")\n",
    "ax2.set_ylim(0,50)\n",
    "\n",
    "ax3.hist(norm_reviews[\"Metacritic_user_nom\"],bins=20,range=(0,5))\n",
    "ax3.set_title(\"Distributons of Rottem\")\n",
    "ax3.set_ylim(0,50)\n",
    "\n",
    "ax4.hist(norm_reviews[\"IMDB_norm\"],bins=20,range=(0,5))\n",
    "ax4.set_title(\"Distributons of Rottem\")\n",
    "ax4.set_ylim(0,50)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 把数据划分为多少份占比\n",
    "fig,ax = plt.subplots()\n",
    "ax.boxplot(norm_reviews[\"RT_user_norm\"])\n",
    "ax.set_xticklabels([\"Rotten Tomatoes\"])\n",
    "ax.set_ylim(0,5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_cols = [\"RT_user_norm\",\"Metacritic_user_nom\",\"IMDB_norm\",\"Fandango_Ratingvalue\"]\n",
    "fig,ax = plt.subplots()\n",
    "ax.boxplot(norm_reviews[num_cols].values)\n",
    "ax.set_xticklabels(num_cols,rotation=90)\n",
    "ax.set_ylim(0,5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[参考博客](https://www.cnblogs.com/flowyourheart/p/Python-ke-shi-hua-kuMatplotlib-shi-yong-zong-jie.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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